ADSIPL
Cloud Computing
DataEngineerII,SupplyChainAnalytics
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II, Supply Chain Analytics at ADSIPL. Skills: Data Engineering, Supply Chain, AWS, ETL/ELT. Design application programming interface. Design user interface”
What You'll Achieve.
Drive measurable business outcomes; Deliver comprehensive end-to-end automation solutions; Drive key business decisions
Industry & Context.
Problem Identification; Root Cause Analysis; Data-Driven Conclusions; Troubleshooting
What They're Looking For.
Must Have
5+ years data engineering, 5+ years SQL, 3+ years ETL/ELT, Experience with Python, Experience with Java, Experience with Scala, Experience with NodeJS
Nice to Have
Experience with Redshift, Experience with S3, Experience with AWS Glue, Experience with EMR, Experience with Kinesis, Experience with FireHose, Experience with Lambda, Experience with IAM roles, Experience with IAM permissions
What You'll Do.
Design application programming interface
Design user interface
Understand organizational data resources
Identify automation opportunities
Interface with global stakeholders
Produce written recommendations
Shape solution design
Influence strategic decision-making
Conduct deep-dive analyses
Formulate data-driven conclusions
Deliver end-to-end automation solutions
Design analytical tools
Develop analytical tools
Maintain analytical tools
Design automated pipelines
Develop automated pipelines
Maintain automated pipelines
Enhance analytical maturity
Incorporate predictive analytics
Incorporate prescriptive analytics
Design data pipelines
Develop data pipelines
Load data from diverse sources
Oversee production operations
Improve production operations
Optimize data delivery
Redesign infrastructure for scalability
Manage code deployments
Coordinate release management
Establish best practices
Maintain best practices
Support data integration solutions
Explore new data sources
Deliver actionable data solutions
Write data processing code
Debug data processing code
Write orchestration code
Debug orchestration code
Handle multiple projects
Adapt to changing priorities
Maintain delivery excellence
How You'll Work.
Team & Collaboration
Collaborate with business leaders; Collaborate with BI Engineers; Collaborate with Data Scientists; Collaborate with product teams; Collaborate with software developers; Interface with global stakeholders; Work with diverse team
Communication Scope
Written Recommendations; Data Analysis
Process & Methodology
Release Management
Full Job Description
AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. AIS is seeking a highly motivated and passionate Back End Data Engineer who is responsible for designing, developing, testing, and deploying Supply Chain Application and Process Automation. In this role you will collaborate with business leaders, work backwards from customers, identify problems, propose innovative solutions, relentlessly raise standards, and have a positive impact on AWS Infrastructure Supply Chain & Procurement. In this, you will work closely with a team of Business Intelligence Engineers and Data Scientists to architect the application programming interface (API) and user Interface (UI) in context with the business outcomes. You will be using the best of available tools, including EC2, Lambda, DynamoDB, and Elastic Search. You will be responsible for the full software development life cycle to build scalable application and deploy in AWS Cloud. Key job responsibilities - Understand the broad range of organizational data resources and business proc
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